• DocumentCode
    3635839
  • Title

    Segmentation of Brain Magnetic Resonance images using ITK, VTK and MeVisLab

  • Author

    Duygu Sertel;Yunus Şen Bozdemir;Nalan Özkurt

  • Author_Institution
    Elektrik ve Elektronik Muhendisligi Bolumu, Dokuz Eylul Universitesi
  • fYear
    2010
  • fDate
    4/1/2010 12:00:00 AM
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    In this study, the white matter, gray matter and the tissues affected by Multiple Sclerosis are segmented semi-automatically from Magnetic Resonance images using programming environments ITK (Insight Registration and Segmentation Toolkit), VTK (Visualization Toolkit) and MeVisLab (Medical Image Processing and Visualization).
  • Keywords
    "Image segmentation","Magnetic resonance","Visualization","Biomedical image processing","Multiple sclerosis","DICOM","Programming environments","Biomedical imaging","Brain modeling","Protons"
  • Publisher
    ieee
  • Conference_Titel
    Biomedical Engineering Meeting (BIYOMUT), 2010 15th National
  • Print_ISBN
    978-1-4244-6380-0
  • Type

    conf

  • DOI
    10.1109/BIYOMUT.2010.5479855
  • Filename
    5479855
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3635839